As organizations increasingly delegate high-stakes decisions from talent acquisition to resource allocation to autonomous systems, a "responsibility gap" emerges. This paper investigates the concept of "moral residue" in the age of automation: the lingering ethical obligation that remains with a leader even when an algorithm executes a choice. While AI-driven innovation promises unparalleled efficiency, it often creates "algorithmic distance," potentially leading to moral decoupling and an abdication of leadership oversight. This research proposes a governance framework for ethical accountability, shifting the focus from technical "black-box" mechanics to the leader’s "duty of understanding." By integrating Human-in-the-Loop (HITL) protocols and transparency audits, the study argues that true organizational sustainability is only achievable when innovation is anchored in human-centric responsibility. The paper concludes that leaders must embrace, rather than outsource, the moral consequences of automated outcomes to maintain stakeholder trust and long-term social legitimacy.
Moral Residue, Ethical Leadership, Algorithmic Responsibility, Social Sustainability.
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